Research Associate (Bioinformatics/Biostatistics) | Wissenschaftliche*r Mitarbeiter*in Ausschreibungs-ID: fb20-0212-wmz-2025

Philipps-Universität Marburg

Marburg, Hessen, Deutschland
Published Oct 27, 2025
Full-time
Fixed-term

Job Summary

This role involves providing scientific services and conducting high-level biostatistical and bioinformatic analyses within the BMBF research group 'PerMed COPD', focusing on personalized medicine for Chronic Obstructive Pulmonary Disease. The associate will analyze complex molecular genetic data, including carrying out Genome-Wide and Methylome-Wide Association Studies (GWAS/MWAS) on large patient cohorts. Key responsibilities also include analyzing transcriptomic expression data generated via Bulk or Single-Cell Sequencing (e.g., 10x Genomics) and developing novel methods for disease risk prediction and patient stratification using integrated genetics and multi-omics datasets. Candidates must have a scientific or quantitative university degree, strong programming skills in R and/or Python, and proficiency with Unix/Linux clusters. This position offers a broad scientific spectrum in complex genetics and significant opportunities for collaboration and professional development within a cutting-edge research project.

Required Skills

Education

Completed scientific university degree (Diploma, Master, or equivalent) in a natural science (e.g., Biology, Chemistry) or a quantitatively oriented field (e.g., Mathematics, Statistics, Computer Science).

Experience

  • Professional experience in scientific services and research
  • Professional experience analyzing molecular and/or epidemiological data (Bioinformatics/Biostatistics) (desirable)
  • Experience with quantitative analyses of molecular and/or epidemiological data (desirable)
  • Experience with publications in peer-reviewed journals (advantageous)

Languages

Not specified

Additional

  • Project position funded by third-party grants (BMBF). Contract duration is temporary until June 30, 2026. The position is full-time, but part-time work is fundamentally possible.